On-Policy Residual Learning for Diffusion Language Models
arXiv:2610.20687v1 Announce Type: new Abstract: Residual context is key to unlocking the speed-quality Pareto frontier of diffusion language models (DLMs) by carrying forward predictive distributions across denoising steps. Yet turning this seemingly simple mechanism into an effective learning para…
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- 2026-10-16 04:00 · arXiv cs.LG
On-Policy Residual Learning for Diffusion Language Models